May 2023 – Dec 2023 · 7 mos

Aug 2020 – Apr 2023 · 2 yrs 8 mos

• Head the AI portfolio across all products and offerings and lead the team to conceptualize and develop ML capabilities within fraud management, revenue assurance, and partner management.
• Provide team leadership, training, coaching, and mentoring for the engineering, data sciences, ML, data engineering, architecture, backend engineering, frontend engineering, quality assurance, product management, and DevOps teams for all talent for AI-first products.
• Head the Deep Learning Centre of Excellence (Computer Vision Scientists and DL Scientists) working on:
• − State-of-the-art Contract Lifecycle Management (CLM) product for Network Asset Management for digitising scanned PDF contracts, including CNN-based Object Detector, LSTM-based text extractor, Abstractive Neural Summarisation with Transformer Language Models and an NLQ engine for custom queries.
• − Patented eKYC solution for facial verification, data extraction and digitization, address validation, and liveliness detection.
• − State-of-the-art solution for network tower asset detection and classification leveraging videos captured by drones.
• Lead the product development, ML and DevOps team (30) within CrunchMetrics, including proprietary ensemble models for forecasting and anomaly detection, auto-model selection module, auto-hyperparameter tuning module, robust RCA module, multivariate causation module, alert module, feedback incorporation via reinforcement learning, insights module and auto-actioning module.
• Lead a team (four) to develop ML and deep learning capabilities within telecom capacity management product (CapMan). Includes ML-based network investment planning, network KPI forecasting, and multivariate what-if simulation.
• Led the team to successfully create and develop HyperSense - an award-winning state-of-the-art, industry-first, no-code AI orchestration platform.

Aug 2019 – Jul 2020 · 11 mos

• Heading the Data Sciences teams of Subex, CrunchMetrics and IDCentral.

Oct 2014 – Aug 2019 · 4 yrs 10 mos · Bengaluru, Karnataka, India

• Responsibilities
• Provided functional leadership for data sciences development work with team leadership (16) to deliver analytics and data sciences projects across multiple B2B domains.
• Managed performance evaluations, team growth, hiring, mentoring and training of resources to enhance project delivery capability.
• Provided insightful strategies to drive business growth on large programs such as Market Development Fund and Partner Incentives and Rebates.
• Achievements
• Led project Substrate (propensity to upgrade from vSphere 5.X to 6.5 and above), which achieved incremental revenue of US$432M in FY2019.
• As a founding member of the data sciences team, successfully success in building the team from one to 16 across multiple geographies (India, Bulgaria, and the USA) within just six months.
• Led an end-to-end list price optimization project to achieve US$76M incremental annual revenue for VMware, Inc.
• Drove the utilization of SPF threshold optimization project results by the business to increase the order threshold by fivefold for availing special discount resulting in ~US$30M upside over two quarters.
• Insourced partner propensity to sell models from vendor to in-house to achieve annual savings of US$4.5M.
• Led the delivery of several analytics and data science projects across multiple B2B domains, including:
• − Pricing: List Price Optimisation using business-tuned exhaustive non-binary decision trees; Discount Driver Study, Commerce Interactions and CPQ, Deal Price Optimisation, Optimising Quote to Order conversion, SPF threshold optimisation.
• − Partner: Partner Segmentation & Partner Propensity to Sell models using internal and external data sources.
• − Marketing: Multiple propensity to buy models for various products of VMware like vSAN, NSX, vCloud Network, vRealise, PKS, Airwatch.
• − Sales: Extended marketing models to SFDC ID level.
• − Digital: Propensity to nurture models to enable personalization of the most relevant content to show on the site.

May 2014 – Oct 2014 · 5 mos · Bengaluru, Karnataka, India

• Built Customer Service Analytics team bottoms-up
• Managed team of Analysts and Senior Analysts responsible for delivering analytical solutions to Marketing and CS Teams
• Created an interactive marketing and CS dashboard with normalized and denormalized views at weekly, monthly and quarterly levels
• Built multiple regression-based models to measure the impact of various pyramids on NPS. The results were used to decide the target for each function
• Analyzed VOC survey and gave meaningful insights to the business to enhance customer experience
• Built an enterprise-level customer segmentation schema based on customer lifetime value and headroom potential

Apr 2013 – Apr 2014 · 1 yr

Nov 2012 – Apr 2013 · 5 mos

Jan 2011 – Nov 2012 · 1 yr 10 mos · Bangalore

Apr 2010 – Jan 2011 · 9 mos · Bangalore

Mar 2009 – Mar 2010 · 1 yr · Bangalore

Apr 2007 – Mar 2009 · 1 yr 11 mos · Bangalore